Distributed Cerebral Blood Flow estimation using a spatiotemporal hemodynamic response model and a Kalman-like Filter approach

Zehor Belkhatir; Sarah Mechhoud; Taous-Meriem Laleg-Kirati

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Distributed Cerebral Blood Flow estimation using a spatiotemporal hemodynamic response model and a Kalman-like Filter approach

Zehor Belkhatir, Sarah Mechhoud and Taous-Meriem Laleg-Kirati

The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Conference Proceedings, p.1349

01/07/2015

Abstract

Conference Title: 2015 European Control Conference (ECC) Conference Start Date: 2015, July 15 Conference End Date: 2015, July 17 Conference Location: Linz, Austria This paper discusses the estimation of distributed Cerebral Blood Flow (CBF) using spatiotemporal traveling wave model. We consider a damped wave partial differential equation that describes a physiological relationship between the blood mass density and the CBF. The spatiotemporal model is reduced to a finite dimensional system using a cubic b-spline continuous Galerkin method. A Kalman Filter with Unknown Inputs without Direct Feedthrough (KF-UI-WDF) is applied on the obtained reduced differential model to estimate the source term which is the CBF scaled by a factor. Numerical results showing the performances of the adopted estimator are provided.

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Title: Distributed Cerebral Blood Flow estimation using a spatiotemporal hemodynamic response model and a Kalman-like Filter approach
Creators - without role: Zehor Belkhatir
Sarah Mechhoud
Taous-Meriem Laleg-Kirati
Publication Details: The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Conference Proceedings, p.1349
Publisher: The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Identifiers: 9942485008331
Academic Unit: King Abdullah University of Science & Technology
Language: English
Resource Type: Conference proceeding